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Earth System Model Evaluation Tool (ESMValTool) v2.0 – diagnostics for extreme events, regional and impact evaluation, and analysis of Earth system models in CMIP

机译:地球系统模型评估工具(ESMVALTOOL)V2.0 - 极端事件,区域和影响评估的诊断,CMIP中的地球系统模型分析

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This paper complements a series of now four publications that document the release of the Earth System Model Evaluation Tool (ESMValTool) v2.0. It describes new diagnostics on the hydrological cycle, extreme events, impact assessment, regional evaluations, and ensemble member selection. The diagnostics are developed by a large community of scientists aiming to facilitate the evaluation and comparison of Earth system models (ESMs) which are participating in the Coupled Model Intercomparison Project (CMIP). The second release of this tool aims to support the evaluation of ESMs participating in CMIP Phase 6 (CMIP6). Furthermore, datasets from other models and observations can be analysed. The diagnostics for the hydrological cycle include several precipitation and drought indices, as well as hydroclimatic intensity and indices from the Expert Team on Climate Change Detection and Indices (ETCCDI). The latter are also used for identification of extreme events, for impact assessment, and to project and characterize the risks and impacts of climate change for natural and socio-economic systems. Further impact assessment diagnostics are included to compute daily temperature ranges and capacity factors for wind and solar energy generation. Regional scales can be analysed with new diagnostics implemented for selected regions and stochastic downscaling. ESMValTool v2.0 also includes diagnostics to analyse large multi-model ensembles including grouping and selecting ensemble members by user-specified criteria. Here, we present examples for their capabilities based on the well-established CMIP Phase?5 (CMIP5) dataset.
机译:本文重装了一系列四个出版物,记录了地球系统模型评估工具(ESMVALTOOL)v2.0的释放。它描述了对水文循环,极端事件,影响评估,区域评估和集合成员选择的新诊断。诊断是由一个大型科学家们开发的,旨在促进参与耦合模型互通项目(CMIP)的地球系统模型(ESMS)的评估和比较。该工具的第二个版本旨在支持参与CMIP阶段6(CMIP6)的ESMS的评估。此外,可以分析来自其他模型和观察的数据集。水文循环的诊断包括几种降水和干旱指数,以及来自气候变化检测和指数的专家组的循环强度和索引(ETCCDI)。后者也用于识别极端事件,用于影响评估,并投入和表征天然和社会经济系统气候变化的风险和影响。包括进一步的影响评估诊断,以计算日常温度范围和风能发电的容量因素。可以通过为所选区域和随机缩小的新诊断进行分析区域尺度。 ESMValtool v2.0还包括诊断,用于分析大型多模型集合,包括通过用户指定的标准分组和选择集合成员。在这里,我们基于已熟悉的CMIP阶段阶段(CMIP5)数据集来提出其功能的示例。

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